News

How NVIDIA and Microsoft Assess the Development of EPG AURA

10.04.2026

With EPG AURA, EPG is pursuing an approach in which artificial intelligence is not treated as an isolated add-on technology but as an intelligent environment designed to support operational processes directly. To establish the technological foundation, the group works closely with NVIDIA and Microsoft. Both cooperations underline that powerful AI in logistics only creates impact where technological infrastructure and deep process understanding come together.

For Peter Bollinger, CEO of EPG, that is exactly the core ambition behind AURA. »I believe the window for introducing AI is closing right now. Companies that do not get on board now will lose competitiveness in a very short time.« What matters, he says, is not putting technological complexity at the center, but creating practical usability. »With EPG AURA, the AI technology deliberately remains in the background so users can focus on their logistics expertise. Concrete use cases can be configured easily and deployed directly in productive operations. What we see very clearly today is this: you do not have to be an AI expert. What matters is logistics knowledge. That alone is enough to create real value.«

For Wilfried Rakow, Developer Relations Manager at NVIDIA, this is exactly what defines the collaboration. He describes the partnership with EPG as the combination of two clearly distinct areas of expertise: »We are very pleased to work with EPG because they bring deep expertise in all aspects of supply chain and warehouse logistics. At NVIDIA, our role is to provide platforms and technological building blocks that allow EPG to develop a complete solution for end customers.« In his view, technology alone is not sufficient. Only when combined with operational understanding does it become a solution that performs reliably in real logistics environments. »A powerful technological foundation alone is not enough. Only operational understanding turns it into a solution that works in real logistics processes.«

For NVIDIA, this approach is particularly relevant because industrial AI applications place very different demands on systems than standard software environments. Visual data, process dependencies, and real-time responsiveness must be combined in a way that produces directly usable operational intelligence. This is precisely where EPG AURA is positioned, integrating existing systems, data sources, and operational workflows into a shared cognitive structure.

Patrick Schidler, Sales Director Cloud & AI for Midmarket DACH at Microsoft, also evaluates the development through this combination of technological capability and operational expertise. For him, EPG AURA represents a strategic step beyond traditional software development: »EPG has been positioned for many years as a leading software provider in the supply chain industry with deep domain expertise. What is becoming visible now is a major next step: EPG is expanding this strength with deep technological AI expertise. The combination of both areas makes it possible to become a true provider of AI environments for shared customers.«

What matters most, he says, is that AI is not understood as an isolated technology initiative. »A company becomes an AI Frontier Firm when AI is no longer limited to individual pilot projects, but systematically creates competitive advantage. That is exactly what we see at EPG.« For Microsoft, the real value therefore does not lie solely in the availability of technological infrastructure, but in the ability to derive concrete operational relevance from it. »AI is fundamentally available everywhere, anyone can access it. Real business value only emerges when the underlying processes are understood. EPG combines technological know-how with deep industry expertise. Customers do not need to build the foundations themselves, but can build on EPG AURA and develop their own differentiating value on top of it.«

This perspective strongly shapes how EPG AURA is positioned: technological complexity remains in the background, while practical operational applicability takes center stage. The result is an environment in which AI does not appear as an isolated feature, but as an integral part of intelligent supply chain execution.